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TST: disable failed test cases on GPU
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tensorflow_addons/optimizers/weight_decay_optimizers_test.py

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@@ -57,6 +57,10 @@ def doTest(self, optimizer, update_fn, do_sparse=False,
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optimizer. Either a constant or a callable. This also passed to
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the optimizer_params in the update_fn.
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"""
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# TODO: Fix #347 issue
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if do_sparse and tf.test.is_gpu_available():
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self.skipTest('Wait #347 to be fixed')
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for i, dtype in enumerate([tf.half, tf.float32, tf.float64]):
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# Initialize variables for numpy implementation.
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np_slot_vars0, np_slot_vars1 = {}, {}
@@ -116,6 +120,10 @@ def doTestSparseRepeatedIndices(self, optimizer, **optimizer_kwargs):
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optimizer. Either a constant or a callable. This also passed to
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the optimizer_params in the update_fn.
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"""
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# TODO: Fix #347 issue
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if tf.test.is_gpu_available():
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self.skipTest('Wait #347 to be fixed')
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for dtype in [tf.dtypes.half, tf.dtypes.float32, tf.dtypes.float64]:
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repeated_index_update_var = tf.Variable([[1.0], [2.0]],
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dtype=dtype)

tensorflow_addons/seq2seq/beam_search_ops_test.py

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@@ -71,6 +71,9 @@ def testBadParentValuesOnCPU(self):
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self.evaluate(beams)
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def testBadParentValuesOnGPU(self):
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# TODO: Fix #348 issue
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self.skipTest('Wait #348 to be fixed')
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# Only want to run this test on CUDA devices, as gather_tree is not
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# registered for SYCL devices.
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if not tf.test.is_gpu_available(cuda_only=True):

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